Essays about: "graph-convolutional neural network"

Showing result 1 - 5 of 20 essays containing the words graph-convolutional neural network.

1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Nikolaos Staikos; [2024]
   Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

   Abstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE

3. 2. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jiaming Huang; [2023]
   Keywords : ;

   Abstract : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. READ MORE

4. 3. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Niklas Barth; [2023]
   Keywords : Unsupervised Learning; Multivariate Time Series; Graph Convolutional Neural Networks; Anomaly Detection; Industrial Control System; EtherCAT; Power Station; Electricity Grid;

   Abstract : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. READ MORE

5. 4. Comparison of deep learning and model-based approaches for spatial profiling of the immune tumor environment on multiplex image data

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Esraa Ahmed; [2023]
   Keywords : ;

   Abstract : The demographics of the tumor microenvironment (TME) impact the Immunotherapy responses for lung cancer patients. Given the heterogeneity of immune cells present within TME, the distribution patterns of different subpopulations of T-cells can be exploited to predict short-term or long-term survival of lung cancer patients. READ MORE

6. 5. Machine Learning-Based Instruction Scheduling for a DSP Architecture Compiler : Instruction Scheduling using Deep Reinforcement Learning and Graph Convolutional Networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Lucas Alava Peña; [2023]
   Keywords : Instruction Scheduling; Deep reinforcement Learning; Compilers; Graph Convolutional Networks; Schemaläggning av instruktioner; Deep Reinforcement Learning; kompilatorer; grafkonvolutionella nätverk;

   Abstract : Instruction Scheduling is a back-end compiler optimisation technique that can provide significant performance gains. It refers to ordering instructions in a particular order to reduce latency for processors with instruction-level parallelism. READ MORE